Estimating the aboveground dry biomass of grass by assimilation of retrieved LAI into a crop growth model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 2, 2015, Pages 550-561

  He, Binbin ^a   Li, Xing ^a   Quan, Xingwen ^a   Qiu, Shi ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Automatic differentiation (AD); biomass; crop growth models; four dimensional variational data assimilation (4D VAR); leaf area index (LAI); sensitivity analysis

Indexed keywords

BIOMASS; CROPS; RADIOMETERS; SENSITIVITY ANALYSIS; SOIL MOISTURE; VALUE ENGINEERING;

AUTOMATIC DIFFERENTIATIONS; BIOMASS ESTIMATION; CROP GROWTH MODEL; FOUR-DIMENSIONAL VARIATIONAL DATA ASSIMILATION; GROUND MEASUREMENTS; LEAF AREA INDEX; OBSERVATION ERRORS; SOIL WATER ATMOSPHERE PLANTS;

ECOLOGY;

ACCURACY ASSESSMENT; BIOMASS; CROP; DATA ASSIMILATION; ESTIMATION METHOD; GRASS; GROWTH MODELING; LEAF AREA INDEX; MODIS; SENSITIVITY ANALYSIS;

CHINA;

EID: 85027926450     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2360676     Document Type: Article

References (63)

1. J. A. Anaya, E. Chuvieco, and A. Palacios-Orueta, "Aboveground biomass assessment in Colombia: A remote sensing approach," Fo r e s t Ecol. Manage., vol. 257, no. 4, pp. 1237-1246, 2009.
2. S. Moreau, R. Bosseno, X. F. Gu, and F. Baret, "Assessing the biomass dynamics of Andean bofedal and totora high-protein wetland grasses from NOAA/AVHRR," Remote Sens. Environ., vol. 85, no. 4, pp. 516-529, 2003.
3. A. de Wit, G. Duveiller, and P. Defourny, "Estimating regional winter wheat yield with WOFOST through the assimilation of green area index retrieved from MODIS observations," Agric. Forest Meteorol., vol. 164, pp. 39-52, 2012.
4. H. Fang, S. Liang, G. Hoogenboom, J. Teasdale, and M. Cavigelli, "Corn-yield estimation through assimilation of remotely sensed data into the CSM-CERES-Maize model," Int. J. Remote. Sens., vol. 29, no. 10, pp. 3011-3032, 2008.
5. L. Dente, G. Satalino, F. Mattia, and M. Rinaldi, "Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield," Remote Sens. Environ., vol. 112, no. 4, pp. 1395-1407, 2008.
6. P. C. Doraiswamy et al., "Application of MODIS derived parameters for regional crop yield assessment," Remote Sens. Environ., vol. 97, no. 2, pp. 192-202, 2005.
7. C. Tucker, C. L. Vanpraet, M. Sharman, and G. Van Ittersum, "Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984," Remote Sens. Environ., vol. 17, no. 3, pp. 233-249, 1985.
8. P. C. Doraiswamy and P. W. Cook, "Spring wheat yield assessment using NOAA AVHRR data," Can. J. Remote Sens., vol. 21, no. 1, pp. 43-51, 1995.
9. J. Liu et al., "Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model," Remote Sens. Environ., vol. 114, pp. 1167-1177, 2010.
10. X. Tian et al., "Estimation of forest above-ground biomass using multiparameter remote sensing data over a cold and arid area," Int. J. Appl. Earth Observ., vol. 14, no. 1, pp. 160-168, 2012.
11. M. Steininger, "Satellite estimation of tropical secondary forest above-ground biomass: Data from Brazil and Bolivia," Int. J. Remote. Sens., vol. 21, no 6-7, pp. 1139-1157, 2000.
12. D. Godwin, J. T. Ritchie, U. Singh, and L. Hunt, "A User's Guide to CERES WHEAT, V2. 10," Muscle Shoals, Alabama, USA: International Fertilizer Development Center, 1990.
13. C. V. Diepen, J. Wolf, H. V. Keulen, and C. Rappoldt, "WOFOST: A simulation model of crop production," Soil Use Manage., vol. 5, no. 1, pp. 16-24, 1989.
14. P. Doraiswamy et al., "Crop condition and yield simulations using Landsat and MODIS," Remote Sens. Environ., vol. 92, no. 4, pp. 548-559, 2004.
15. M. Claverie et al., "Maize and sunflower biomass estimation in southwest France using high spatial and temporal resolution remote sensing data," Remote Sens. Environ., vol. 124, pp. 844-857, 2012.
16. Y. Dong et al., "Comparison and analysis of data assimilation algorithms for predicting the leaf area index of crop canopies," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 1, pp. 188-201, Feb. 2013.
17. G. Evensen, "Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics," J. Geophys. Res., vol. 99, no. C5, pp. 10143-10162, 1994.
18. O. Talagrand and P. Courtier, "Variational assimilation of meteorological observations with the adjoint vorticity equation. I: Theory," Quart. J. Roy. Meteorol. Soc., vol. 113, no. 478, pp. 1311-1328, 1987.
19. Y. Curnel, A. J. W. de Wit, G. Duveiller, and P. Defourny, "Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS Experiment," Agric. Forest Meteorol., vol. 151, no. 12, pp. 1843-1855, 2011.
20. Y. Zhao, S. Chen, and S. Shen, "Assimilating remote sensing information with crop model using Ensemble Kalman Filter for improving LAI monitoring and yield estimation," Ecol. Model., vol. 270, pp. 30-42, 2013.
21. H. Ma et al., "Estimating regional winter wheat yield by assimilation of time series of HJ-1 CCD NDVI into WOFOST-ACRM model with Ensemble Kalman Filter," Math. Comput. Model., vol. 58, no. 3-4, pp. 759-770, 2013.
22. A. J. W. de Wit and C. A. van Diepen, "Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts," Agric. Forest Meteorol., vol. 146, no. 1-2, pp. 38-56, 2007.
23. T. Quaife et al., "Assimilating canopy reflectance data into an ecosystem model with an Ensemble Kalman Filter," Remote Sens. Environ., vol. 112, no. 4, pp. 1347-1364, 2008.
24. J. Pellenq and G. Boulet, "A methodology to test the pertinence of remote-sensing data assimilation into vegetation models for water and energy exchange at the land surface," Agronomie, vol. 24, no. 4, pp. 197-204, 2004.
25. N. Gustafsson, "Discussion on '4D-Var or EnKF?," Tellus A, vol. 59, no. 5, pp. 774-777, 2007.
26. E. Kalnay, H. Li, T. Miyoshi, S. C. Yang, and J. Ballabrera-Poy, "4-D-Var or ensemble Kalman filter?," Tellus A, vol. 59, no. 5, pp. 758-773, 2007.
27. J. Qin, S. Liang, R. Liu, H. Zhang, and B. Hu, "A weak-constraint-based data assimilation scheme for estimating surface turbulent fluxes," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 4, pp. 649-653, Oct. 2007.
28. C. Faure, "Adjoining strategies for multi-layered programs," Optim. Methods Softw., vol. 17, no. 1, pp. 129-164, 2002.
29. R. Houborg, H. Soegaard, and E. Boegh, "Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data," Remote Sens. Environ., vol. 106, no. 1, pp. 39-58, 2007.
30. J. Kroes et al., "SWAP version 3.2, theory description and user manual," Wageningen, The Netherlands: Alterra, 2008.
31. R. Singh, J. Van Dam, and R. Feddes, "Water productivity analysis of irrigated crops in Sirsa district, India," Agric. Water Manage., vol. 82, no. 3, pp. 253-278, 2006.
32. A. Bonfante et al., "SWAP, CropSyst and MACRO comparison in two contrasting soils cropped with maize in Northern Italy," Agric. Water Manage., vol. 97, no. 7, pp. 1051-1062, 2010.
33. J. Eitzinger, M. Trnka, J. Hösch, Z. Žalud, and M. Dubrovský, "Comparison of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions," Ecol. Model., vol. 171, no. 3, pp. 223-246, 2004.
34. M. Yuping et al., "Monitoring winter wheat growth in North China by combining a crop model and remote sensing data," Int. J. Appl. Earth Observ., vol. 10, no. 4, pp. 426-437, 2008.
35. G. Ma et al., "Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield," Math. Comput. Model., vol. 58, no. 3-4, pp. 634-643, 2013.
36. D. Wu, Z. Ouyang, X. Zhao, Q. Yu, and Y. Luo, "The applicability research of WOFOST model in North China plain," Acta Phytoecol. Sin., vol. 27, no. 5, pp. 594-602, 2003.
37. T. Wang, C. Lü, and B. Yu, "Assessing the potential productivity of winter wheat using WOFOST in the Beijing-Tianjin-Hebei region," J. Nat. Resour., vol. 25, no. 3, pp. 475-487, 2010.
38. A. Saltelli and I. M. Sobol, "About the use of rank transformation in sensitivity analysis of model output," Reliab. Eng. Syst. Saf., vol. 50, no. 3, pp. 225-239, 1995.
39. I. M. Sobol, "Sensitivity estimates for nonlinear mathematical models," Math. Modell. Comput. Exp., vol. 1, no. 4, pp. 407-414, 1993.
40. G. Glen and K. Isaacs, "Estimating Sobol sensitivity indices using correlations," Environ. Model. Softw., vol. 37, pp. 157-166, 2012.
41. J. Nossent, P. Elsen, and W. Bauwens, "Sobol'sensitivity analysis of a complex environmental model," Environ. Model. Softw., vol. 26, no. 12, pp. 1515-1525, 2011.
42. T. Homma and A. Saltelli, "Importance measures in global sensitivity analysis of nonlinear models," Reliab. Eng. Syst. Saf., vol. 52, no. 1, pp. 1-17, 1996.
43. S. Kirkpatrick, D. Gelatt, Jr., and M. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983.
44. W. Jing, L. Xin, L. Ling, and F. Feng, "Estimating near future regional corn yields by integrating multi-source observations into a crop growth model," Eur. J. Agron., vol. 49, pp. 126-140, 2013.
45. A. Kuusk, "A Markov chain model of canopy reflectance," Agric. Forest Meteorol., vol. 76, no. 3, pp. 221-236, 1995.
46. A. Kuusk, "A two-layer canopy reflectance model," J. Quant. Spectrosc. Radiat. Transfer, vol. 71, no. 1, pp. 1-9, 2001.
47. R. Houborg and E. Boegh, "Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data," Remote Sens. Environ., vol. 112, no. 1, pp. 186-202, 2008.
48. B. He, X. Quan, and M. Xing, "Retrieval of leaf area index in alpine wetlands using a two-layer canopy reflectance model," Int. J. Appl. Earth Observ., vol. 21, pp. 78-91, 2013.
49. X. Quan, B. He, Y. Wang, Z. Tang, and X. Li, "An extended Fourier approach to improve the retrieved leaf area index (LAI) in a time series from an alpine wetland," Remote Sens., vol. 6, no. 2, pp. 1171-1190, 2014.
50. R. Houborg, M. Anderson, and C. Daughtry, "Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale," Remote Sens. Environ., vol. 113, no. 1, pp. 259-274, 2009.
51. J. C. Price, "On the information content of soil reflectance spectra," Remote Sens. Environ., vol. 33, no. 2, pp. 113-121, 1990.
52. F. Baret and T. Fourty, "Radiometric estimates of nitrogen status of leaves and canopies," in Diagnosis of the Nitrogen Status in Crops. New York, NY, USA: Springer, 1997, pp. 201-227.
53. S. Jacquemoud and F. Baret, "PROSPECT: A model of leaf optical properties spectra," Remote Sens. Environ., vol. 34, no. 2, pp. 75-91, 1990.
54. S. Jacquemoud, F. Baret, B. Andrieu, F. Danson, and K. Jaggard, "Extraction of vegetation biophysical parameters by inversion of the PROSPECT+ SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors," Remote Sens. Environ., vol. 52, no. 3, pp. 163-172, 1995.
55. M. Weiss, F. Baret, R. B. Myneni, A. Pragnère, and Y. Knyazikhin, "Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data," Agronomie, vol. 20, no. 1, pp. 3-22, 2000.
56. Y. Knyazikhin, J. Martonchik, R. Myneni, D. Diner, and S. Running, "Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data," J. Geophys. Res., vol. 103, no. D24, pp. 32257-32275, 1998.
57. M. Weiss and F. Baret, "Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data," Remote Sens. Environ., vol. 70, no. 3, pp. 293-306, 1999.
58. C. Walthall et al., "A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery," Remote Sens. Environ., vol. 92, no. 4, pp. 465-474, 2004.
59. E. Bélanger and A. Vincent, "Data assimilation (4D-VAR) to forecast flood in shallow-waters with sediment erosion," J. Hydrol., vol. 300, no. 1, pp. 114-125, 2005.
60. R. M. Errico, "What is an adjoint model?" Bull. Amer. Meteorol. Soc., vol. 78, no. 11, pp. 2577-2591, 1997.
61. D. Wang, J. Wang, and S. Liang, "Retrieving crop leaf area index by assimilation of MODIS data into a crop growth model," Sci. China Earth Sci., vol. 53, no. 5, pp. 721-730, 2010.
62. M. Guerif and C. Duke, "Adjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation," Agric. Ecosyst. Environ., vol. 81, no. 1, pp. 57-69, 2000.
63. Y. Tr'emolet, "Accounting for an imperfect model in 4D-Var," Quart. J. Roy. Meteorol. Soc., vol. 132, no. 621, pp. 2483-2504, 2006.